Predictive validity of the Dundee multiple mini-interview
Open accessAbstract
Context: The multiple mini‐interview ( MMI ) is the primary admissions tool used to assess non‐cognitive skills at Dundee Medical School. Although the MMI shows promise, more research is required to demonstrate its transferability and predictive validity, for instance, relative to other UK pre‐admissions measures. Methods: Applicants were selected for interview based on a combination of measures derived from the Universities and Colleges Admissions Service ( UCAS ) form (academic achievement, medical experience, non‐academic achievement and references) and the UK Clinical Aptitude Test ( UKCAT ) in 2009 and 2010. Candidates were selected into medical school according to a weighted combination of the UKCAT , the UCAS form and MMI scores. Examination scores were matched for 140 and 128 first‐ and second‐year students, respectively, who took the 2009 MMI s, and 150 first‐year students who took the 2010 MMI s. Pearson's correlations were used to test the relationships between pre‐admission variables, examination scores and demographic variables, namely gender and age. Statistically significant correlations were adjusted for range restrictions and were used to select variables for multiple linear regression analysis to predict examination scores. Results: Statistically significant correlations ranged from 0.18 to 0.34 and 0.23 to 0.50 unrestricted. Multiple regression confirmed that MMI s remained the most consistent predictor of medical school assessments. No scores derived from the UCAS form correlated significantly with examination scores. Conclusions: This study reports positive findings from the largest undergraduate sample to date. The MMI was the most consistent predictor of success in early years at medical school across two separate cohorts. UKCAT and UCAS forms showed minimal or no predictive ability. Further research in this area appears worthwhile, with longitudinal studies, replication of results from other medical schools and more detailed analysis of knowledge, skills and attitudinal outcome markers.
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In Husbands & Dowell (2013), multiple regressions confirmed that MMIs remained the most consistent predictor of success, accounting for between 5% and 17% of the variance in assessment scores alone or in combination with candidates' gender.
“Multiple regressions also confirmed that the MMIs remained the most consistent predictor of success, accounting between 5% and 17% of the variance in assessment scores alone or in combination with candidates' gender.”
From Multiple Mini Interview as an admission tool in higher education: Insights from a systematic review (2019) · cites this paper as Husbands A. & Dowell J., (39) 2013
In Husbands & Dowell (2013), MMI scores significantly correlated with six of 10 examination sittings, with magnitudes ranging from 0.24 to 0.50 (unrestricted), accounting for between 5.70% and 25.00% of variance in students' examination scores.
“MMI scores significantly correlated with six of 10 examination sittings, with magnitudes ranging from 0.24 to 0.50 (unrestricted), accounting for between 5.70% and 25.00% of variance in students' examination scores.”
From Multiple Mini Interview as an admission tool in higher education: Insights from a systematic review (2019) · cites this paper as Husbands A. & Dowell J., (39) 2013
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- Authors
- Husbands, A., & Dowell, J.
- Affiliations
- University of Dundee (GB)
- Corresponding author
- Husbands, Adrian
- Venue
- Medical Education
- Publisher
- Wiley
- Published
- 2013-06-09
- Volume
- 47
- Issue
- 7
- Pages
- 717-725
- ISSN
- 0308-0110 (ISSN-L)
- 1365-2923
- OpenAlex
- W2070360485
- Cited by
- 83
- References
- 28
- Citations by year
- 2026: 4 · 2025: 2 · 2024: 4 · 2023: 5 · 2022: 5 · 2021: 3 · 2020: 9 · 2019: 2 · 2018: 10 · 2017: 6 · 2016: 9 · 2015: 12 · 2014: 11 · 2013: 1
- FWCI
- 11.22
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Medical Education (publishedVersion)
- PubMed (publishedVersion)
- Discovery Research Portal (University of Dundee) (publishedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Medical Education and Admissions
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
- Social Sciences › Gender Studies › Diversity and Career in Medicine
- Keywords
- multiple mini-interviews, predictive validity, medical school admissions, medical school performance, UKCAT, non-cognitive skills, admission selection
- MeSH terms
- Aptitude Tests, College Admission Test, Education, Medical, Undergraduate, Educational Measurement, Humans, Interviews as Topic, Predictive Value of Tests, Schools, Medical
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